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In this paper, the machine learning tools were used to identify key features influencing citation impact. Both the papers’ external and quality information were considered in constructing papers’ feature space. Based on the feature space, the soft fuzzy rough set was used to generate a series of associated feature subsets. Then, the KNN classifier was used(More)
Journal self-citations strongly affect journal evaluation indicators (such as impact factors) at the meso-and micro-levels, and therefore they are often increased artificially to inflate the evaluation indicators in journal evaluation systems. This coercive self-citation is a form of scientific misconduct that severely undermines the objective authenticity(More)
BACKGROUND Only four cases of primary intracerebellar paragangliomas have been reported in the literature to date. Because of its rarity, primary intracerebellar paraganglioma still presents a diagnostic challenge for both radiologists and neurosurgeons, and the optimal therapeutic modality is still debatable for its hypervascularity and location. (More)